"Agglomerative"是一个形容词，通常用于描述一种将不同事物或实体聚集或合并在一起的过程或方法。在数据科学和机器学习中，它通常指的是一种聚类算法，如层次聚类或谱聚类，它通过合并最接近的物体来创建聚类，而不是基于距离进行划分。
以下是一篇关于agglomerative聚类的英文范文：
标题：Agglomerative Clustering: A Data Science Perspective
Agglomerative clustering is a popular technique in data science and machine learning that groups similar objects together by merging them gradually. This method is particularly useful for finding patterns in data that are not easily identified through traditional clustering methods such as k-means.
The process of agglomerative clustering begins by creating individual clusters for each object in the dataset. Then, the algorithm iteratively merges the clusters that are the closest together, creating larger and larger clusters until all objects are grouped into a single cluster or set of clusters. This approach allows for the discovery of complex patterns and relationships within the data that might otherwise be overlooked.
Agglomerative clustering is particularly useful for analyzing large datasets that are difficult to cluster using traditional methods. It can also be used to identify patterns and trends in data that are not easily identified using other techniques, such as correlation analysis or regression analysis.
In conclusion, agglomerative clustering is a powerful technique that can be used to identify patterns and trends in large datasets and provide valuable insights for data scientists and analysts.
agglomerative的意思是合并的、聚类的。
在英文范文中的用法如下：
1. 用于描述层次聚类分析(Hierarchical Clustering Analysis)中的一种方法，该方法通过合并距离最近的群集来创建更高层次的群集，直到达到预定的层数或满足停止标准。
2. 用于描述语言学中词团(agglomeration)的形成，即由语言中相似或相关联的词组合成一个新的词团。
以上内容仅供参考，如需获取更多信息，可咨询相关领域的专业人士。
agglomerative的意思是聚类合并的。
在英文范文中的变化主要是根据语境的不同而变化。例如，在某些情况下，agglomerative可能指的是一种算法，用于将数据点聚集在一起形成一个整体。而在其他情况下，它可能指的是一种特定的组织方式，将不同的部分或实体组合成一个整体。